version 12.1

******** FIGURE 2 Competency form: the interaction between education and policy positions
use data.dta, clear

***** Setting the mean or modal values for the respondent-level variables
* pol_interest = 3.3
sum pol_interest if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_pinterest=3.3
* left_right = 4.2
sum left_right if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_leftright=4.2
* gender =0 (female)
table gender if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_gender=0
* age = 21.4
sum age if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_age=21.4
* italian = 1
table italian if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_italian=1
* student = 1
table ftstudent if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_student=1
* lyceum = 1
table lyceum if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_lyceum=1
* edu_imp = 3.1
sum edu_imp if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_eduimp=3.1
* inc_imp = 1.9
sum inc_imp if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_incimp=1.9
* hon_imp = 3.9
sum hon_imp if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_honimp=3.9
* taxspend_imp = 3.7
sum taxspend_imp if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & taxspend_imp!=. & samesex_imp!=. & Y!=.
scalar h_taximp=3.7
* samesex_imp = 3.4
sum samesex_imp if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & taxspend_imp!=. & samesex_imp!=. & Y!=.
scalar h_sseximp=3.4 
* survey =1 (2013)
table survey if pol_interest!=. & left_right!=.n & gender!=. & age!=. & italian!=. & ftstudent!=. & lyceum!=. & edu_imp!=. & inc_imp!=. & hon_imp!=. & Y!=.
scalar h_survey=1

* Note: Non-varying candidate attributes are set at their baseline values (low income, clean)

**********   EDUCATION * SAMESEX Interaction
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at Same rights (Samesex1) and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp + MG_b114*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at Some rights (Samesex2) and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b109 + MG_b114*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at No rights (Samesex3) and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b110 + MG_b114*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle(High vs jr high school, size(3)) yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter1, replace) ///
title("Candidate for increasing taxation and spending", size(2))

restore, not
**********   EDUCATION * SAMESEX Interaction
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at Same rights (Samesex1) and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b100 + MG_b114*h_survey + MG_b120*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at Some rights (Samesex2) and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b100 + MG_b109 + MG_b114*h_survey + MG_b120*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at No rights (Samesex3) and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b100 + MG_b110 + MG_b114*h_survey + MG_b120*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle("") yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter2, replace) ///
title("Candidate for maintaining taxation and spending levels", size(2))

restore, not
**********   EDUCATION * SAMESEX Interaction
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at Same rights (Samesex1) and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b101 + MG_b114*h_survey + MG_b121*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at Some rights (Samesex2) and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b101 + MG_b109 + MG_b114*h_survey + MG_b121*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: High school vs. Middle-junior high (Edu2 vs Edu1) at No rights (Samesex3)  and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b101 + MG_b110 + MG_b114*h_survey + MG_b121*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle("") yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter3, replace) ///
title("Candidate for cutting taxation and spending", size(2))

restore, not
**********   EDUCATION * SAMESEX Interaction
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at Same rights (Samesex1) and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp + MG_b115*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at Some rights (Samesex2) and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b112 + MG_b115*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at No rights (Samesex3)  and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b113 + MG_b115*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle(University vs jr high school, size(3)) yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter4, replace)
* /// title("Candidate for increasing taxation and spending", size(2))

restore, not
**********   EDUCATION * SAMESEX Interaction
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at Same rights (Samesex1) and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b103 + MG_b115*h_survey + MG_b120*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at Some rights (Samesex2)  and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b103 + MG_b112 + MG_b115*h_survey + MG_b120*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at No rights (Samesex3)  and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b103 + MG_b113 + MG_b115*h_survey + MG_b120*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle("") yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter5, replace)
* /// title("Candidate for maintaining taxation and spending levels", size(2))

restore, not
**********   EDUCATION * SAMESEX Interaction
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at Same rights (Samesex1) and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b104 + MG_b115*h_survey + MG_b121*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at Some rights (Samesex2)  and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b104 + MG_b112 + MG_b115*h_survey + MG_b121*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: University vs. Middle-junior high (Edu3 vs Edu1) at No rights (Samesex3)  and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b1
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b104 + MG_b113 + MG_b115*h_survey + MG_b121*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle("") yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter6, replace) 
* /// title("Candidate for cutting taxation and spending", size(2))

restore, not
**********   EDUCATION * SAMESEX Interaction
* Education: University vs. High school (Edu3 vs Edu2) at Same rights (Samesex1) and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp + MG_b114*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp + MG_b115*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: University vs. High school (Edu3 vs Edu2) at Some rights (Samesex2) and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b109 + MG_b114*h_survey + MG_b122*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b112 + MG_b115*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: University vs. High school (Edu3 vs Edu2) at No rights (Samesex3)  and 'More tax-spend' candidate (Tax1)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b110 + MG_b114*h_survey + MG_b123*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b113 + MG_b115*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle(University vs high school, size(3)) yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter7, replace) 
* /// title("Candidate for increasing taxation and spending", size(2))

restore, not
**********   EDUCATION * SAMESEX Interaction
* Education: University vs. High school (Edu3 vs Edu2) at Same rights (Samesex1) and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b100 + MG_b114*h_survey + MG_b120*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b103 + MG_b115*h_survey + MG_b120*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: University vs. High school (Edu3 vs Edu2) at Some rights (Samesex2)  and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b100 + MG_b109 + MG_b114*h_survey + MG_b120*h_survey + MG_b122*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b103 + MG_b112 + MG_b115*h_survey + MG_b120*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: University vs. High school (Edu3 vs Edu2) at No rights (Samesex3)  and 'Keep tax and spend' candidate (Tax2)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b100 + MG_b110 + MG_b114*h_survey + MG_b120*h_survey + MG_b123*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b64*h_pinterest + MG_b68*h_leftright + MG_b72*h_gender + MG_b76*h_age + MG_b80*h_italian + MG_b84*h_student + MG_b88*h_lyceum + MG_b92*h_taximp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b103 + MG_b113 + MG_b115*h_survey + MG_b120*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle("") yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter8, replace) 
* /// title("Candidate for maintaining taxation and spending levels", size(2))

restore, not
**********   EDUCATION * SAMESEX Interaction
* Education: University vs. High school (Edu3 vs Edu2) at Same rights (Samesex1) and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b101 + MG_b114*h_survey + MG_b121*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b104 + MG_b115*h_survey + MG_b121*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim.dta, clear
save sim2.dta, replace
restore, not
* Education: University vs. High school (Edu3 vs Edu2) at Some rights (Samesex2)  and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b101 + MG_b109 + MG_b114*h_survey + MG_b121*h_survey + MG_b122*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b66*h_pinterest + MG_b70*h_leftright + MG_b74*h_gender + MG_b78*h_age + MG_b82*h_italian + MG_b86*h_student + MG_b90*h_lyceum + MG_b94*h_sseximp ///
+ MG_b104 + MG_b112 + MG_b115*h_survey + MG_b121*h_survey + MG_b122*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
restore, not
* Education: University vs. High school (Edu3 vs Edu2) at No rights (Samesex3)  and 'Cut tax and spend' candidate (Tax3)
estimates use m10.ster
est des
preserve
drawnorm MG_b1-MG_b123, n(10000) means(e(b)) cov(e(V)) clear seed(1)
postutil clear
postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using sim.dta, replace
noisily display "start"
generate x_betahat0 = MG_b2 ///
+ MG_b16*h_pinterest + MG_b22*h_leftright + MG_b28*h_gender + MG_b34*h_age + MG_b40*h_italian + MG_b46*h_student + MG_b52*h_lyceum + MG_b58*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b101 + MG_b110 + MG_b114*h_survey + MG_b121*h_survey + MG_b123*h_survey
generate x_betahat1 = MG_b3 ///
+ MG_b17*h_pinterest + MG_b23*h_leftright + MG_b29*h_gender + MG_b35*h_age + MG_b41*h_italian + MG_b47*h_student + MG_b53*h_lyceum + MG_b59*h_eduimp ///
+ MG_b65*h_pinterest + MG_b69*h_leftright + MG_b73*h_gender + MG_b77*h_age + MG_b81*h_italian + MG_b85*h_student + MG_b89*h_lyceum + MG_b93*h_taximp ///
+ MG_b67*h_pinterest + MG_b71*h_leftright + MG_b75*h_gender + MG_b79*h_age + MG_b83*h_italian + MG_b87*h_student + MG_b91*h_lyceum + MG_b95*h_sseximp ///
+ MG_b104 + MG_b113 + MG_b115*h_survey + MG_b121*h_survey + MG_b123*h_survey
gen prob0=normal(x_betahat0)
gen prob1=normal(x_betahat1)
gen diff=prob1-prob0
egen probhat0=mean(prob0)
egen probhat1=mean(prob1)
egen diffhat=mean(diff)
tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi   
_pctile prob0, p(2.5,97.5) 
scalar `lo0' = r(r1)
scalar `hi0' = r(r2)  
_pctile prob1, p(2.5,97.5)
scalar `lo1'= r(r1)
scalar `hi1'= r(r2)  
_pctile diff, p(2.5,97.5)
scalar `diff_lo'= r(r1)
scalar `diff_hi'= r(r2)  
scalar `prob_hat0'=probhat0
scalar `prob_hat1'=probhat1
scalar `diff_hat'=diffhat
post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat 
display ""
postclose mypost
use sim2.dta, clear
append using sim.dta
save sim2.dta, replace
gen MV = _n
eclplot diff_hat diff_hi diff_lo MV, estopts(msize(small)) rplottype(rspike) ciopts(msize(small)) graphregion(fcolor(white)) ysca(noline) xtitle("") ytitle("") yline(0, lcolor(black) lwidth(medthin)) ///
ylabel(.5 "0.5" .25 "0.25" 0 -.25 "-0.25" -.5 "-0.5", noticks labsize(2)) xlabel(1 "Same rights" 2 "Some rights" 3 "No rights", noticks labsize(2)) xsca(noline r(0.5/3.5)) saving(Edusex_inter9, replace)

graph combine Edusex_inter1.gph Edusex_inter2.gph Edusex_inter3.gph Edusex_inter7.gph Edusex_inter8.gph Edusex_inter9.gph Edusex_inter4.gph Edusex_inter5.gph Edusex_inter6.gph, ///
graphregion(fcolor(white)) ycommon xcommon saving(Figure_2, replace) cols(3) imargin(0 0 0 0)
exit
